High-resolution Range Profile Selection Of Time-critical Target Based On SAR Images

High-resolution Range Profile has unique advantages in the field of target recognition and selection because of its practical advantages of simple imaging conditions and high clutter suppression efficiency.In this paper,Time-critical target selection algorithm based on HRRP is studied.Considering that obtaining a priori information can effectively improve the efficiency of detection and recognition,the idea of SAR image aided a priori information acquisition is proposed,and a set of positioning,detection and recognition processes are deduced on the research.Firstly,the time-critical target spatial orientation method based on SAR image sequence is studied and completed.The direct positioning model of single-frame SAR image is established.The theoretical CRLB and the necessary conditions for the observability of the system under the R-V sequence observation model of SAR image are analyzed and deduced.A time-critical target sequential localization method based on RV sequence is proposed by using multi-frame mid-resolution image sequence to realize multi-frame data position estimation.The CRLB is used to compare the positioning differences of different radar trajectories under observable conditions,and the favorable positioning radar motion conditions are obtained.Finally,the performance of the algorithm is verified by the measured data.Secondly,the one-dimensional range profile detection algorithm based on SAR image is studied and completed.Through the traditional detection theory,contrast energy detection method and matched filtering method,the importance of priori information in detection is demonstrated,and a scattering point sequence matching detection method based on the scattering center projection of SAR image is proposed.According to the practical application background,the algorithm performance under the conditions of attitude offset,frequency band difference and resolution difference is discussed,and the measured data are processed.Finally,the key points selection algorithm of HRRP assisted by SAR image is proposed.The matching process of range profile recognition assisted by SAR image is deduced,and the performance of the algorithm is verified by measured data.Aiming at the problem of accurate selection of target key parts,taking the target three-dimensional scattering center as a priori model,combined with the three-dimensional position of key parts,the image projection from three-dimensional to two-dimensional and twodimensional to one-dimensional is realized,and the one-dimensional scattering point sequence template is obtained.The one-dimensional scattering point sequence is used for sliding matching,the best matching position is selected,the key position of the target is determined.The performance of this part of the algorithm is verified by the measured data.